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Terrestrial Condition Assessment (TCA) Road Density

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NIAID Data Ecosystem2026-05-10 收录
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https://figshare.com/articles/dataset/Terrestrial_Condition_Assessment_TCA_Road_Density/30411766
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Direct Download (Raster Data Gateway) Objective: Identify locations where roads are present at a density that impacts the quality of wildlife habitat and fragments the landscape. Data: A national roads vector dataset has been acquired from the USGS National Transportation Dataset. The data were reattributed to represent three classes: (1) Unimproved, (2) Paved, (3) Light Duty roads. The new classes correspond to the following classes from the National Transportation Dataset: Unimproved: Four-wheel drive roads.Paved: Controlled access highway, Secondary Highway or Major Connecting Road, RampsLight Duty: Local Connecting Roads, Local RoadsData Format: Polylines were converted to a raster for each TCA assessment year. The value at a pixel corresponds to the class of road at that location. Values differ slightly between the years: 2024: 1- Light Duty, 2- Paved, 3- Unimproved, 4- Other 2023: 1- Light Duty, 2- Paved, 3- Unimproved, 4- Other 2022: 1- Light Duty, 2- Paved, 3- Unimproved 2021: 1- Light Duty, 2- Paved, 3- Unimproved 2020: 1- Light Duty, 2- Paved, 3- Unimproved, 4- Other, 5- Decommissioned Spatial Resolution: 10m Source data: USGS National Transportation Dataset Additional Resources: Details on Method Changes and Source Data Versions Overview of the Terrestrial Condition Assessment: TCA Hubsite or Landfire Office Hour Presentation Explore the results of the most recent assessment: TCA Interactive Data Viewer Learn more about the TCA KPI: TCA Dashboard *if you have trouble viewing the Dashboard, please submit a Tableau Viewer Access Request This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService For complete information, please visit https://data.gov.
创建时间:
2025-09-26
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